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Soil, land care and environmental research
RESEARCH ARTICLE (Open Access)

Spatial variability of mineral surface area and carbon sequestration potential at the farm scale – a case study

Sam McNally https://orcid.org/0000-0001-6079-092X A * , Joanna Sharp B , Peter Jaksons C , Craig Tregurtha B , Mike Beare https://orcid.org/0000-0003-0027-3757 B and Robyn White A
+ Author Affiliations
- Author Affiliations

A Manaaki Whenua Landcare Research, Lincoln, New Zealand.

B The New Zealand Institute for Plant and Food Research, Lincoln, New Zealand.

C OrionNZ, Christchurch, New Zealand.

* Correspondence to: McNallyS@landcareresearch.co.nz

Handling Editor: Thomas Bishop

Soil Research 62, SR23177 https://doi.org/10.1071/SR23177
Submitted: 12 September 2023  Accepted: 16 July 2024  Published: 8 August 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

The ability of soils to contribute to greenhouse gas mitigation requires the stock of carbon to be increased in the long term. Studies have demonstrated the potential of soils to increase in carbon at global to regional scales, with soil mineral surface area a key factor to this potential. However, there is limited knowledge on the distribution of mineral surface area and whether the distribution of soil carbon sequestration potential varies at the farm scale.

Aims

The aim of this study was to evaluate the spatial variability in mineral surface area and sequestration potential of SOC at a farm scale.

Methods

We used a case study farm to apply existing published methodology and assess the spatial distribution of the mineral surface area, the maximum amount of stable carbon that a soil could hold, and the subsequent potential for soil carbon sequestration at the farm scale. A total of 200 samples were collected across the farm using a balance accepted sampling design prior to analysis for total carbon, mineral surface area, and sequestration potential.

Key results

Despite being in a localised area, the farm demonstrated that the distributions of mineral surface area and total carbon were related to variation in the underlying soil type. When data were examined spatially, there were areas within the farm that had greater potential to stabilise more carbon and also regions where there were greater carbon stocks.

Conclusions

The spatial distribution of SOC, mineral surface area, and potential to increase MAOC was well represented by the spatial distribution of soil type within a farm. This case study demonstrated areas within the farm that had potential to increase the MAOC fraction.

Implications

This case study offers an approach that would give farmers and land managers knowledge to improve the understanding of the carbon dynamics across their farm and to identify areas that have greater potential to contribute to greenhouse gas mitigation and the areas that would be more susceptible to soil carbon loss. Using this approach could allow targeted management practices to be applied to specific regions on-farm to either increase soil carbon or protect existing stocks.

Keywords: carbon sequestration, carbon stabilisation, farm scale, mineral surface area, mitigation, soil carbon stocks, soil organic carbon, soil type.

References

4per1000.org The 4per1000 initiative. Available at www.4per1000.org. [accessed 1 July 2024]

Amelung W, Bossio D, de Vries W, Kögel-Knabner I, Lehmann J, Amundson R, Bol R, Collins C, Lal R, Leifeld J, Minasny B, Pan G, Paustian K, Rumpel C, Sanderman J, van Groenigen JW, Mooney S, van Wesemael B, Wander M, Chabbi A (2020) Towards a global-scale soil climate mitigation strategy. Nature Communications 11, 5427.
| Crossref | Google Scholar | PubMed |

Angers DA, Arrouays D, Saby NPA, Walter C (2011) Estimating and mapping the carbon saturation deficit of French agricultural topsoils. Soil Use and Management 27, 448-452.
| Crossref | Google Scholar |

Beare MH, McNeill SJ, Curtin D, Parfitt RL, Jones HS, Dodd MB, Sharp J (2014) Estimating the organic carbon stabilisation capacity and saturation deficit of soils: a New Zealand case study. Biogeochemistry 120, 71-87.
| Crossref | Google Scholar |

Begill N, Don A, Poeplau C (2023) No detectable upper limit of mineral-associated organic carbon in temperate agricultural soils. Global Change Biology 29, 4662-4669.
| Crossref | Google Scholar | PubMed |

Cotrufo MF, Lavallee JM (2022) Soil organic matter formation, persistence, and functioning: a synthesis of current understanding to inform its conservation and regeneration. Advances in Agronomy 172, 1-66.
| Crossref | Google Scholar |

Cotrufo MF, Ranalli MG, Haddix ML, Six J, Lugato E (2019) Soil carbon storage informed by particulate and mineral-associated organic matter. Nature Geoscience 12, 989-994.
| Crossref | Google Scholar |

Curtin D, Beare MH, Qiu W (2022) Hot water extractable carbon in whole soil and particle-size fractions isolated from soils under contrasting land-use treatments. Soil Research 60(8), 772-781.
| Crossref | Google Scholar |

Emde D, Hannam KD, Midwood AJ, Jones MD (2022) Estimating mineral-associated organic carbon deficits in soils of the Okanagan Valley: a regional study with broader implications. Frontiers in Soil Science 2, 812249.
| Crossref | Google Scholar |

FAO (2019) Measuring and modelling soil carbon stock changes in livestock production systems: guidelines for assessment (Version 1). Livestock Environmental Assessment and Performance (LEAP) Partnership, FAO, Rome. p. 170.

Feng W, Plante AF, Six J (2013) Improving estimates of maximal organic carbon stabilization by fine soil particles. Biogeochemistry 112, 81-93.
| Crossref | Google Scholar |

Georgiou K, Jackson RB, Vindušková O, Abramoff RZ, Ahlström A, Feng W, Harden JW, Pellegrini AFA, Polley HW, Soong JL, Riley WJ, Torn MS (2022) Global stocks and capacity of mineral-associated soil organic carbon. Nature Communications 13, 3797.
| Crossref | Google Scholar | PubMed |

Graham SL, Laubach J, Hunt JE, Mudge PL, Nuñez J, Rogers GND, Buxton RP, Carrick S, Whitehead D (2022) Irrigation and grazing management affect leaching losses and soil nitrogen balance of lucerne. Agricultural Water Management 259, 107233.
| Crossref | Google Scholar |

Gregorich EG, Beare MH, McKim UF, Skjemstad JO (2006) Chemical and biological characteristics of physically uncomplexed organic matter. Soil Science Society of America Journal 70, 975-985.
| Crossref | Google Scholar |

Gregorich EG, Gillespie AW, Beare MH, Curtin D, Sanei H, Yanni SF (2015) Evaluating biodegradability of soil organic matter by its thermal stability and chemical composition. Soil Biology and Biochemistry 91, 182-191.
| Crossref | Google Scholar |

Hassink J (1997) The capacity of soils to preserve organic C and N by their association with clay and silt particles. Plant and Soil 191, 77-87.
| Crossref | Google Scholar |

Hedley CB, Saggar S, Theng BKG, Whitton JS (2000) Surface area of soils of contrasting mineralogies using para-nitrophenol adsorption and its relation to air-dry moisture content of soils. Soil Research 38(1), 155-168.
| Crossref | Google Scholar |

Kirschbaum MUF, Schipper LA, Mudge PL, Rutledge S, Puche NJB, Campbell DI (2017) The trade-offs between milk production and soil organic carbon storage in dairy systems under different management and environmental factors. Science of the Total Environment 577, 61-72.
| Crossref | Google Scholar |

Kirschbaum MUF, Moinet GYK, Hedley CB, Beare MH, McNally SR (2018) Are soil carbon stocks controlled by a soil’s capacity to protect carbon from decomposition? In ‘Farm environmental planning – science, policy and practice’. Occasional Report No. 31. (Eds LD Currie, CL Christensen) (Fertilizer and Lime Research Centre, Massey University: Palmerston North, New Zealand) Available at http://flrc.massey.ac.nz/publications.html

Kirschbaum MUF, Moinet GYK, Hedley CB, Beare MH, McNally SR (2020a) A conceptual model of carbon stabilisation based on patterns observed in different soils. Soil Biology and Biochemistry 141, 107683.
| Crossref | Google Scholar |

Kirschbaum MUF, Giltrap DL, McNally SR, Liáng LL, Hedley CB, Moinet GYK, Blaschek M, Beare MH, Theng BKG, Hunt JE, Whitehead D (2020b) Estimating the mineral surface area of soils by measured water adsorption. Adjusting for the confounding effect of water adsorption by soil organic carbon. European Journal of Soil Science 71, 382-391.
| Crossref | Google Scholar |

Kögel-Knabner I, Guggenberger G, Kleber M, Kandeler E, Kalbitz K, Scheu S, Eusterhues K, Leinweber P (2008) Organo-mineral associations in temperate soils: integrating biology, mineralogy, and organic matter chemistry. Journal of Plant Nutrition and Soil Science 171(1), 61-82.
| Crossref | Google Scholar |

Lavallee JM, Soong JL, Cotrufo MF (2020) Conceptualizing soil organic matter into particulate and mineral-associated forms to address global change in the 21st century. Global Change Biology 26(1), 261-273.
| Crossref | Google Scholar | PubMed |

Lützow Mv, Kögel-Knabner I, Ekschmitt K, Matzner E, Guggenberger G, Marschner B, Flessa H (2006) Stabilization of organic matter in temperate soils: mechanisms and their relevance under different soil conditions – a review. European Journal of Soil Science 57(4), 426-445.
| Crossref | Google Scholar |

Manaaki Whenua (2023) S-map Online. Available at https://smap.landcareresearch.co.nz/ [accessed January 2023]

Matus FJ (2021) Fine silt and clay content is the main factor defining maximal C and N accumulations in soils: a meta-analysis. Scientific Reports 11, 6438.
| Crossref | Google Scholar | PubMed |

McNally SR, Beare MH, Curtin D, Meenken ED, Kelliher FM, Calvelo Pereira R, Shen Q, Baldock J (2017) Soil carbon sequestration potential of permanent pasture and continuous cropping soils in New Zealand. Global Change Biology 23(11), 4544-4555.
| Crossref | Google Scholar | PubMed |

McNally S, Beare M, Curtin D, Tregurtha C, Qiu W, Kelliher F, Baldock J (2018) Assessing the vulnerability of organic matter to C mineralisation in pasture and cropping soils of New Zealand. Soil Research 56, 481-490.
| Crossref | Google Scholar |

McNeill SJE, Golubiewski N, Barringer J (2014) Development and calibration of a soil carbon inventory model for New Zealand. Soil Research 52, 789-804.
| Crossref | Google Scholar |

MPI (2020) Design of an on-farm soil carbon benchmarking and monitoring approach for individual pastoral farms. MPI Technical Paper No. 2020/02.

Parfitt RL, Whitton JS, Theng BKG (2001) Surface reactivity of A horizons towards polar compounds estimated from water adsorption and water content. Australian Journal of Soil Research 39, 1105-1110.
| Crossref | Google Scholar |

Poeplau C, Don A (2013) Sensitivity of soil organic carbon stocks and fractions to different land-use changes across Europe. Geoderma 192, 189-201.
| Crossref | Google Scholar |

R Core Team (2018) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria) Available at https://www.R-project.org/

Sanderman J, Hengl T, Fiske GJ (2017) Soil carbon debt of 12,000 years of human land use. Proceedings of the National Academy of Sciences 114(36), 9575-9580.
| Crossref | Google Scholar | PubMed |

SIDDC (2023) Lincoln University Dairy Farm webpage. South Island Dairy Demonstration Centre. Available at https://www.ludf.org.nz/. [accessed 19 January 2023]

Six J, Conant RT, Paul EA, Paustian K (2002) Stabilization mechanisms of soil organic matter: implications for C-saturation of soils. Plant and Soil 241, 155-176.
| Crossref | Google Scholar |

Stewart CE, Paustian K, Conant RT, Plante AF, Six J (2007) Soil carbon saturation: concept, evidence and evaluation. Biogeochemistry 86, 19-31.
| Crossref | Google Scholar |

Stewart CE, Paustian K, Conant RT, Plante AF, Six J (2008) Soil carbon saturation: evaluation and corroboration by long-term incubations. Soil Biology and Biochemistry 40, 1741-1750.
| Crossref | Google Scholar |

Theng BKG, Ristori GG, Santi CA, Percival HJ (1999) An improved method for determining the specific surface areas of topsoils with varied organic matter content, texture and clay mineral composition. European Journal of Soil Science 50(2), 309-316.
| Crossref | Google Scholar |

Trivedi P, Singh BP, Singh BK (2018) Soil carbon: introduction, importance, status, threat, and mitigation. In ‘Soil carbon storage’. (Ed. BK Singh) pp. 1–28. (Academic Press) doi:10.1016/B978-0-12-812766-7.00001-9

van Dam-Bates P, Gansell O, Robertson B (2018) Using balanced acceptance sampling as a master sample for environmental surveys. Methods in Ecology and Evolution 9, 1718-1726.
| Crossref | Google Scholar |

Wall AM, Campbell DI, Mudge PL, Rutledge S, Schipper LA (2019) Carbon budget of an intensively grazed temperate grassland with large quantities of imported supplemental feed. Agriculture, Ecosystems & Environment 281, 1-15.
| Crossref | Google Scholar |

Wall AM, Campbell DI, Morcom CP, Mudge PL, Schipper LA (2020) Quantifying carbon losses from periodic maize silage cropping of permanent temperate pastures. Agriculture, Ecosystems & Environment 301, 107048.
| Crossref | Google Scholar |

Whitehead D, Schipper LA, Pronger J, Moinet GYK, Mudge PL, Calvelo Pereira R, Kirschbaum MUF, McNally SR, Beare MH, Camps-Arbestain M (2018) Management practices to reduce losses or increase soil carbon stocks in temperate grazed grasslands: New Zealand as a case study. Agriculture, Ecosystems & Environment 265, 432-443.
| Crossref | Google Scholar |

Wiesmeier M, Hübner R, Spörlein P, Geuß U, Hangen E, Reischl A, Schilling B, von Lützow M, Kögel-Knabner I (2014) Carbon sequestration potential of soils in southeast Germany derived from stable soil organic carbon saturation. Global Change Biology 20, 653-665.
| Crossref | Google Scholar | PubMed |

Wiesmeier M, Munro S, Barthold F, Steffens M, Schad P, Kögel-Knabner I (2015) Carbon storage capacity of semi-arid grassland soils and sequestration potentials in northern China. Global Change Biology 21, 3836-3845.
| Crossref | Google Scholar | PubMed |